With the determined precision computes the [quantile](https://en.wikipedia.org/wiki/Quantile) of a numeric data sequence.
The result is deterministic (it doesn’t depend on the query processing order). The function is optimized for working with sequences which describe distributions like loading web pages times or backend response times.
When using multiple `quantile*` functions with different levels in a query, the internal states are not combined (that is, the query works less efficiently than it could). In this case, use the [quantiles](../../../sql-reference/aggregate-functions/reference/quantiles.md#quantiles) function.
-`level` — Level of quantile. Optional parameter. Constant floating-point number from 0 to 1. We recommend using a `level` value in the range of `[0.01, 0.99]`. Default value: 0.5. At `level=0.5` the function calculates [median](https://en.wikipedia.org/wiki/Median).
-`expr` — [Expression](../../../sql-reference/syntax.md#syntax-expressions) over a column values returning a [Float\*](../../../sql-reference/data-types/float.md)-type number.
For calculating page loading time quantiles, this function is more effective and accurate than [quantile](../../../sql-reference/aggregate-functions/reference/quantile.md#quantile).
If no values are passed to the function (when using `quantileTimingIf`), [NaN](../../../sql-reference/data-types/float.md#data_type-float-nan-inf) is returned. The purpose of this is to differentiate these cases from cases that result in zero. See [ORDER BY clause](../../../sql-reference/statements/select/order-by.md#select-order-by) for notes on sorting `NaN` values.